Triple
T10782600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Moore |
E254363
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Matthew Moore
Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
|
E887214
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matthew Moore | Statement: [Matt Moore, birthName, Matthew Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Moore Context triple: [Matt Moore, birthName, Matthew Moore]
-
A.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
B.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
C.
Jacob Moore
Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
-
D.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
-
E.
Adrian Moore
Adrian Moore is a recurring character on the television series "Nip/Tuck," known as the troubled and often provocative son of Julia McNamara.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matthew Moore Triple: [Matt Moore, birthName, Matthew Moore]
Generated description
Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Moore Target entity description: Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
-
A.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
B.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
C.
Jacob Moore
Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
-
D.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
-
E.
Adrian Moore
Adrian Moore is a recurring character on the television series "Nip/Tuck," known as the troubled and often provocative son of Julia McNamara.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c5618081908f72838ed42ed05c |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84c925088190922b9979cf77d01b |
completed | April 14, 2026, 6:17 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:17 p.m.